Following the machines, people and ideas shaping agriculture. Selected developments, clear context and a link to the original source.
Robotics. Intelligence. Agriculture.
463 stories matching “AI”.
A new research paper sets out WildDrone’s drone, ecology and computer-vision programme, including wildlife monitoring at Kenya’s Ol Pejeta Conservancy.
FAO’s Central and Western Region locust commissions launched a programme combining classroom, simulator and field instruction for national surveillance and response teams.
A Ghana–Belgium partnership is developing locally grounded maize-yield estimation while addressing the field-data mismatches that can undermine satellite models.
A review of more than 100 initiatives in Europe and Central Asia highlights local operators, transparent pricing and usable outputs as adoption priorities.
An Earth-observation demonstrator for RICOWAS is being designed around geolocated farm records and the realities of a West African adaptation programme.
Philippine field research links aerial measurements with plant physiology across 318 rice accessions, offering a faster way to compare breeding material.
Australian cotton researchers are combining aerial sensing methods to distinguish crop performance and disease stress that ordinary photographs can miss.
A five-day Côte d’Ivoire workshop linked flight operations, image analysis and shared breeding services for participants from seven West and Central African countries.
A Jendouba pilot compares daily 10-metre evapotranspiration data with a coarser product, exposing both operational benefits and validation gaps.
Semear Digital is testing irrigation decisions based on crop water stress, with vineyard results in São Paulo and expansion into pineapple production.
CGIAR reports that the HaFAS advisory system reached 49,000 Ethiopian farmers in 2025, combining field evidence, digital delivery and extension support.
KALRO and CGIAR partners are combining historical trials and machine learning to develop maize nutrient recommendations adapted to local conditions.
